<p>Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.</p><p>Substantially updating the previous edition, then entitled <i>Guide to Intelligent Data Analysis</i>, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep l
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This standard introduction to psychology and counseling offers an explanation of classic theory and a holistic Christian view of humanity and counseling. The book includes over one hundred "spotlights" (brief essays featuring persons, ideas,...
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The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and s
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